{"id":"W4378554333","doi":"10.22214/ijraset.2023.52728","title":"Satellite Image Dehazing","year":2023,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Image (mathematics); Artificial intelligence; Adaptability; Image restoration; Computer vision; Net (polyhedron); Transformation (genetics); Set (abstract data type); Satellite; Haze; Image quality; Degradation (telecommunications); Deep learning; Satellite image; Image processing; Mathematics; Telecommunications; Geography; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002417403,0.0004759709,0.0002799749,0.0005485435,0.0001943664,0.0003440485,0.0003358259,0.0003498164,0.002365005],"category_scores_gemma":[0.000502614,0.0001156268,0.0003962028,0.0003634385,0.0003740781,0.000516606,0.0004478406,0.0006243661,0.0007487597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002879411,"about_ca_system_score_gemma":0.0002603505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001979265,"about_ca_topic_score_gemma":0.002452732,"domain_scores_codex":[0.9998506,0.00001278718,0.000005360218,0.00003845077,0.0000742173,0.00001849661],"domain_scores_gemma":[0.9997987,0.00003408995,0.00002944405,0.00006767375,0.00005851104,0.00001163262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003429478,0.00009284114,0.005819155,0.0004986022,0.0001768109,0.0004398764,0.0001517824,0.1279124,0.1650937,0.005848632,0.01253656,0.6810865],"study_design_scores_gemma":[0.00002925533,0.0002897325,0.01360125,0.00008131723,0.0001246663,0.00181112,0.0001418476,0.6267969,0.3073816,0.005955637,0.04373535,0.00005137817],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4114938,0.00391415,0.5441391,0.001285346,0.0006681528,0.0002124812,0.001395702,0.004303625,0.03258746],"genre_scores_gemma":[0.8920298,0.001955349,0.08867041,0.0003160183,0.0001273225,0.0000260601,0.001373397,0.0001827481,0.01531897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002365005,"threshold_uncertainty_score":0.007911682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05793989301492493,"score_gpt":0.4108835250191862,"score_spread":0.3529436320042613,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}